Abstract: Computers are now an essential part of people's lives, as they are used to accomplish all of human job with greater accuracy and efficiency. Visual scene analysis is a high-level computer vision task that acquires knowledge from videos or digital images. Object detection is a branch of computer vision and image processing concerned with detecting items of various classes (animals, humans, and automobiles) in photos and movies. Car detection, face detection, picture retrieval, and video surveillance are some of the well-researched applications of object detection. This study focuses on the many image and video-based object recognition technologies that can be used to support varied contexts. This review focuses on examining the many image and video-based object identification technologies that can be used to serve varied contexts. The primary goal of this study is to investigate various picture and video-based objects. Detection methods for detecting and addressing object detection difficulties in photos and videos. This publication contains information on extensive information about numerous object detection algorithms in a variety of situations. Finally, there are analogies drawn for In diverse picture and video settings, different object detection approaches are used. Lives of animals are valuable. As global citizens, we must work to ensure the survival and development of animals in order to maintain the ecosystem's balance and stability. Wildlife monitoring collects data on wildlife species, numbers, habits, quality of life and habitat conditions to aid researchers in understanding the status and dynamics of wildlife resources and to serve as a foundation for effective wildlife resource protection, sustainable use and scientific management. Continuous hunting has resulted in the extinction of many animal species and the government has enacted legislation and is undertaking surveys to conserve certain species. Conducting surveys is a difficult undertaking, especially if don't have the necessary resources are not available. Conducting a survey is a difficult task, especially without the help of technology. The implementation of a Species Classification wireless camera is being done to address this. The smart camera is used in conjunction with phython-based programming that incorporates a Tensor Flow model that has been pre-trained. Some species are difficult to locate, and even when they are, determining their classification can be difficult. Varied species present in various locations appear in various sizes, forms, colours, and angles from a human perspective. In order to better conserve and preserve species, a better choice of technique for identifying and classifying them must be made.
Keywords: LIDAR, FSP, SVM, CNN, Forest stand,UWB,SIFT,SURF.
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DOI:
10.17148/IJARCCE.2022.11572
